원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.5 No.2
2012.04
pp.153-158
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Image registration is a necessary pre-processing step before quantitative analysis of brain
MR data. A novel variational optical flow approach for image registration is proposed in this
paper. The advantages of our method are as follows. We coupled bias correction and optical
flow image registration within the unified variational framework. We could recover the
corrected target image through the estimated bias field. Experiments on synthetic and real
brain images demonstrate the advantages of our method.
목차
Abstract
1. Introduction
2. Horn-Schunck Model
3. Image Registration and Bias Field Correction Coupled Framework
4. Experimental Results
6. Conclusions
Acknowledgements
References
1. Introduction
2. Horn-Schunck Model
3. Image Registration and Bias Field Correction Coupled Framework
4. Experimental Results
6. Conclusions
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보